
\begin{table}
\begin{center}
\begin{tabular}{l D{)}{)}{9)0} D{)}{)}{9)1} D{)}{)}{9)3} D{)}{)}{9)1} D{)}{)}{9)0}}
\toprule
 & \multicolumn{1}{c}{Care} & \multicolumn{1}{c}{Fairness} & \multicolumn{1}{c}{Loyalty} & \multicolumn{1}{c}{Authority} & \multicolumn{1}{c}{Sanctity} \\
\midrule
GAL-TAN (CHES)           & 0.01 \; (0.15)  & 0.19 \; (0.15)      & 0.35 \; (0.15)^{*}    & 0.13 \; (0.15)      & 0.05 \; (0.16)  \\
Year                     & -0.26 \; (0.14) & -0.29 \; (0.14)^{*} & -0.48 \; (0.14)^{***} & -0.32 \; (0.14)^{*} & -0.22 \; (0.15) \\
Government Participation & -0.45 \; (0.28) & -0.38 \; (0.27)     & -0.02 \; (0.27)       & -0.59 \; (0.26)^{*} & -0.51 \; (0.29) \\
\midrule
AIC                      & 102.39          & 100.10              & 99.57                 & 99.60               & 104.48          \\
BIC                      & 111.73          & 109.43              & 108.90                & 108.93              & 113.81          \\
Log Likelihood           & -45.20          & -44.05              & -43.79                & -43.80              & -46.24          \\
Num. manifestos          & 35              & 35                  & 35                    & 35                  & 35              \\
Num. groups: countries   & 4               & 4                   & 4                     & 4                   & 4               \\
Var: Country (Intercept) & 0.47            & 0.38                & 0.27                  & 0.47                & 0.44            \\
Var: Residual            & 0.62            & 0.59                & 0.59                  & 0.57                & 0.67            \\
\bottomrule
\multicolumn{6}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Regression table for all manifestos in German, scored with CCR (multi ref/embed) for the dimension Vice.}
\label{tab:app_reg_de_ccr_multi_to_multi_vice}
\end{center}
\end{table}
